{"id":"https://openalex.org/W2140609124","doi":"https://doi.org/10.1109/icip.2002.1038967","title":"A study of contextual modeling and texture characterization for multiscale Bayesian segmentation","display_name":"A study of contextual modeling and texture characterization for multiscale Bayesian segmentation","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2140609124","doi":"https://doi.org/10.1109/icip.2002.1038967","mag":"2140609124"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2002.1038967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038967","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026886070","display_name":"Guoliang Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoliang Fan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","[Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"[Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA]","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107060736","display_name":"Xiaomu Song","orcid":null},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaomu Song","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","[Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"[Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA]","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20379011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"III","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7685471773147583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.731730043888092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114978432655334},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.705531656742096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6774717569351196},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6026086807250977},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5707568526268005},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5019688606262207},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4919690787792206},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4650954008102417},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.45596784353256226},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.42198047041893005},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4200614392757416},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4118443727493286},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41059011220932007},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2500743269920349},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13383927941322327},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.08325788378715515}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7685471773147583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.731730043888092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114978432655334},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.705531656742096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6774717569351196},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6026086807250977},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5707568526268005},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5019688606262207},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4919690787792206},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4650954008102417},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.45596784353256226},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.42198047041893005},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4200614392757416},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4118443727493286},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41059011220932007},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2500743269920349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13383927941322327},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.08325788378715515},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2002.1038967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038967","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1497165824","https://openalex.org/W1527867818","https://openalex.org/W1991806859","https://openalex.org/W2101897555","https://openalex.org/W2108338188","https://openalex.org/W2111727749","https://openalex.org/W2134929491","https://openalex.org/W2151658918","https://openalex.org/W6648568356"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2053269318","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2044270176","https://openalex.org/W2374828682","https://openalex.org/W2153116791","https://openalex.org/W2388733570","https://openalex.org/W1980033651","https://openalex.org/W4230530180"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,23,43,57],"demonstrate":[4],"that":[5,73],"multiscale":[6,29,67,81],"Bayesian":[7,82],"image":[8],"segmentation":[9],"can":[10],"be":[11],"enhanced":[12],"by":[13,37],"improving":[14],"both":[15,74],"contextual":[16,35],"modeling":[17,36],"and":[18,28,54],"statistical":[19,45],"texture":[20,46,68],"characterization.":[21,69],"Firstly,":[22],"show":[24,72],"a":[25],"joint":[26],"multi-context":[27],"approach":[30],"to":[31,63],"achieve":[32],"more":[33,65],"robust":[34],"using":[38,48],"multiple":[39],"context":[40],"models.":[41],"Secondly,":[42],"study":[44],"characterization":[47],"wavelet-domain":[49],"hidden":[50],"Markov":[51],"models":[52],"(HMMs),":[53],"in":[55,80],"particular,":[56],"use":[58],"an":[59],"improved":[60],"HMM,":[61],"HMT-3S,":[62],"obtain":[64],"accurate":[66],"Experimental":[70],"results":[71],"of":[75],"them":[76],"play":[77],"important":[78],"roles":[79],"segmentation.":[83]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}